Identify validated drug targets in minutes - not months
Finding a credible target takes months - before a single molecule is tested. NovoMCP scores 108,000 target-disease associations and stress-tests every hit against contradicting evidence. Most tools rank targets. NovoMCP challenges them - before you commit.
“Find validated targets for non-small cell lung cancer with strong clinical evidence.”
How it works
Name the disease
Type a disease name or EFO ID. The engine queries 108,000 pre-scored omics associations - genetics, expression, and druggability - and returns ranked targets.
Adversarial validation
Each target is stress-tested against clinical trials, ChEMBL bioactivity, and literature. Failed trials and contradicting evidence surface before you commit compute credits.
Dockable targets, ready
You receive ranked targets with suggested PDB IDs, key variants, pathways, and tractability assessments - ready to feed into lead optimization or docking.
Proof
108,436 target-disease associations in omics_targets (Cosmos DB). Composite score: genetics 0.40 + expression 0.30 + druggability 0.30.
56 pharmacogene documents in omics_pgx. 134,940 ClinVar pathogenic variants in omics_resistance.
validate_target stress-tests each hit with tiered weighting: clinical trials (3×), ChEMBL bioactivity (2×), literature (1×), omics (1×).
Use this when you need to
Find high-confidence targets backed by genomic evidence
Avoid failed or weak hypotheses before committing resources
Start discovery with validated biology - not assumptions
Surface contradicting clinical evidence before it surfaces in trials
Better starting decisions. Better outcomes downstream.
108,000 associations. Adversarial validation. Start with confidence, not hope.